Study exploring generative AI applied to unstructured audio data for precision public health surveillance and health monitoring.
State policy governing the enterprise use and development of generative AI tools across government agencies.
State enterprise responsible AI use policy: principles of accountability, transparency, fairness, and privacy for agency AI tools.
Kansas Health Institute template and guidance for public health organizations to develop AI policies tailored to their context.
How the data center boom driven by AI risks health outcomes in vulnerable communities through noise, pollution, and energy burdens.
Content analysis of social determinants of health accelerator plans using AI/NLP to identify themes and equity gaps at scale.
Kentucky COT AI policy (Oct. 2025): acceptable generative AI use for state employees, data protection, and mandatory agency training.
Empirical study using LLMs and prompt engineering to generate health awareness messages, evaluating quality for public health communication.
Guam OTECH AI use policy (Jan. 2025): responsible AI guidelines for government agencies—data privacy, human oversight, and prohibited uses.
Washington State WaTech AI policy (Dec. 2025): agencies must apply state AI principles, assess high-risk systems, and protect non-public data.
Michigan DTMB guidelines for ethical AI adoption: data classification, human-in-the-loop oversight, and equitable access for state agencies.
ASTHO and partners explore public health AI: ethics, equity, privacy, and practical applications.
Agency policy on responsible use of AI tools: acceptable use cases, data privacy, human oversight, and documentation requirements.
How AI tools plus community engagement improve adolescent mental health in rural settings. Highlights digital literacy needs. Frontiers, 2025.
GenAI-in-healthcare framework with 4 principles: map applications to strengths, define evaluations, balance safety, ensure transparency.
Webinar from Public Health Communications Collaborative on using AI responsibly to strengthen public health messaging and community outreach.
JISC analysis of AI's environmental footprint in context—energy, water, carbon—arguing for proportionate concern and greener AI design.
Study on AI-powered living health promotion campaigns tailored to U.S. communities using real-time data and personalization.
Analysis of how AI could transform public health planning—including forecasting and resource allocation—while raising equity concerns.
Framework for integrating health equity considerations into AI design and deployment for public health applications.